Hi
My data has the following setup. I have individual level data for years 1995, 2000, 2005, 2010 and 2015. The treatment happened at state level in different years between 2002 and 2014( For example state 1 in 2003, state 2 in 2011 etc). Some states did not get treated at all. I want to run a Staggered DID and compare differences in outcomes of treated versus non treated states.
Can I run the following regression for the same?
Yist = α + βTst + ϒs + θt + εist,
i – individual, s – state, t – year
Tst – Whether state s had the treatment by year t
1) Also, will it matter if I run the regression at individual or state level (since all the variation in the RHS is coming at the state level)
2) Since the treatment is given at the state level, the standard errors should be clustered at the state level , right?
Also, in this setup, how do I check for the parallel trends assumption?
Thanks.
Related Posts with Staggered Difference in Difference*
What multivariate analyses could be performed with employment tenure and temporary employment rate before and after labour reforms?I'm studying the employment tenure (the duration of contracts) and the temporary employment rate of …
Restrictions years codeHi all, I have a data on my stata and I am needed to run data replicate table separately according t…
Pooled probit,random effect probit and fixed effectsI am trying to run a pooled probit, random effects probit and fixed effects and producing them on th…
Removing third bracket from*a column which is numericHello everyone, How I can remove the third bracket from a column ( which is numeric and gives count…
Check for confounder in logistic regressionArray Hi, The below result shows my logistic regression, which I used to find potential confounders…
Subscribe to:
Post Comments (Atom)
0 Response to Staggered Difference in Difference*
Post a Comment